Senior Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Create, develop, and sustain scalable analytics engineering solutions utilizing Databricks, Unity Catalog, and contemporary data platforms.

• Design and oversee metrics-as-code frameworks to ensure standardized, governed, and reusable business metrics.

• Execute definitions for metrics, cohorts, segments, and KPIs within semantic layers and measurement platforms.

• Construct and enhance Workstream Scorecards that link objectives, business drivers, performance indicators, and actionable insights.

• Develop automated data pipelines for refreshing metrics, validating data, and managing reporting workflows.

• Generate reusable analytics assets, frameworks, and data products to foster adoption and expedite decision-making.

• Establish standards for data modeling, metric governance, version control, testing, and deployment practices.

• Collaborate with Data Engineering to define source data requirements, event tracking standards, and instrumentation strategies.

• Enhance data quality, observability, lineage, and governance in analytics environments.

• Convert business inquiries into quantifiable product KPIs and actionable insights in collaboration with client stakeholders.

• Create product measurement frameworks that focus on engagement, retention, acquisition, conversion, and customer lifecycle performance.

• Facilitate experimentation through metric definitions, consultation on experiment design, and measuring outcomes.

• Construct and maintain customer cohorts, segmentation frameworks, and models for behavioral analysis.

• Advocate for CI/CD, code reviews, testing, and release management within the analytics development process.

• Oversee Git-based development workflows and deployment pipelines.

• Document definitions of metrics, business logic, transformation rules, and considerations for data quality.

⛳️ Requirements

• Bachelor's Degree.

• 4+ years of experience in Analytics Engineering, Product Analytics, Data Analytics, or Business Intelligence.

• Advanced SQL knowledge for analyzing large-scale event, clickstream, behavioral, or customer interaction data.

• Practical experience with Databricks, Unity Catalog, Delta Lake, and modern cloud data platforms.

• Familiarity with metrics-as-code and semantic layer technologies like dbt, Cube, MetricFlow, or similar frameworks.

• Proficiency in Python for analytics, data processing, automation, and testing purposes.

• Experience with Git, CI/CD pipelines, code repositories, and software development lifecycle methodologies.

• Understanding of product analytics concepts, including funnels, cohorts, DAU/WAU/MAU, retention, engagement, conversion, and customer journey analysis.

• Experience collaborating with product, engineering, and business stakeholders to deliver analytical solutions.

• Experience working in agile delivery environments and distributed teams.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work opportunities.

• Professional development and training programs.

• Generous vacation and paid time off policies.